Unsupervised Video-based Person Re-identification Based on The Joint Global-local Metrics

At present, supervised video-based person re-identification has achieved excellent performance. However, the initial video data obtained from real scenes are often unlabeled. Labelling such data is very time-consuming. If unsupervised learning can be effectively applied to these data, so much cost will be saved. In this paper, based on the joint global and local metric, an unsupervised video-based...